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09/09/2023
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Learning paradigms for large language models (LLMs) currently tend to fa...
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08/31/2023
QuCAT: A Combinatorial Testing Tool for Quantum Software
With the increased developments in quantum computing, the availability o...
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08/27/2023
Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids
Drones have been widely used in many areas of our daily lives. It reliev...
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08/13/2023
UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment
The volume of User Generated Content (UGC) has increased in recent years...
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08/10/2023
Test Case Minimization with Quantum Annealers
Quantum annealers are specialized quantum computers for solving combinat...
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08/06/2023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Large language models (LLMs) have demonstrated remarkable performance ac...
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07/21/2023
Sensing Aided Covert Communications: Turning Interference into Allies
In this paper, we investigate the realization of covert communication in...
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07/12/2023
Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation
Autonomous navigation in unknown environments with obstacles remains cha...
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07/04/2023
OTFS-based Robust MMSE Precoding Design in Over-the-air Computation
Over-the-air computation (AirComp), as a data aggregation method that ca...
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05/23/2023
Evaluating and Modeling Attribution for Cross-Lingual Question Answering
Trustworthy answer content is abundant in many high-resource languages a...
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05/23/2023
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations
Multilingual sequence-to-sequence models perform poorly with increased l...
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05/21/2023
TheoremQA: A Theorem-driven Question Answering dataset
The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in s...
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05/19/2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Data scarcity is a crucial issue for the development of highly multiling...
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05/18/2023
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation
The field of text-to-image (T2I) generation has garnered significant att...
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05/12/2023
ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4
In recent years, large language models (LLMs) have made significant prog...
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05/03/2023
Complexity and Enumeration in Models of Genome Rearrangement
In this paper, we examine the computational complexity of enumeration in...
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02/22/2023
Sampling-based path planning under temporal logic constraints with real-time adaptation
Replanning in temporal logic tasks is extremely difficult during the onl...
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01/27/2023
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning
In recent years, pre-trained large language models have demonstrated rem...
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12/26/2022
A Survey of Face Recognition
Recent years witnessed the breakthrough of face recognition with deep co...
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11/22/2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Recently, there has been significant progress in teaching language model...
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10/31/2022
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging
Diffusion Weighted Imaging (DWI) is an advanced imaging technique common...
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10/24/2022
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
We consider novelty detection in time series with unknown and nonparamet...
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10/13/2022
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models
Recent work on tokenizer-free multilingual pretrained models show promis...
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08/25/2022
Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm
Widely used deep learning models are found to have poor robustness. Litt...
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07/06/2022
A Comprehensive Review on Deep Supervision: Theories and Applications
Deep supervision, or known as 'intermediate supervision' or 'auxiliary s...
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04/18/2022
QuSBT: Search-Based Testing of Quantum Programs
Generating a test suite for a quantum program such that it has the maxim...
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03/17/2022
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation
The performance of multilingual pretrained models is highly dependent on...
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12/16/2021
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets
Natural language inference (NLI) is an important task for producing usef...
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09/10/2021
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Adapters are light-weight modules that allow parameter-efficient fine-tu...
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08/13/2021
A Dataset for Answering Time-Sensitive Questions
Time is an important dimension in our physical world. Lots of facts can ...
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06/23/2021
Innovations Autoencoder and its Application in Real-Time Anomaly Detection
An innovations sequence of a time series is a sequence of independent an...
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06/11/2021
RefBERT: Compressing BERT by Referencing to Pre-computed Representations
Recently developed large pre-trained language models, e.g., BERT, have a...
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06/07/2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Although deep learning models have driven state-of-the-art performance o...
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04/29/2021
Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions
With populations ageing, the number of people with dementia worldwide is...
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03/15/2021
Multi-view Subword Regularization
Multilingual pretrained representations generally rely on subword segmen...
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02/26/2021
Gradient-guided Loss Masking for Neural Machine Translation
To mitigate the negative effect of low quality training data on the perf...
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02/15/2021
Meta Back-translation
Back-translation is an effective strategy to improve the performance of ...
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01/02/2021
Dimensions of Transparency in NLP Applications
Broader transparency in descriptions of and communication regarding AI s...
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10/04/2020
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
To improve the performance of Neural Machine Translation (NMT) for low-r...
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04/14/2020
Balancing Training for Multilingual Neural Machine Translation
When training multilingual machine translation (MT) models that can tran...
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02/10/2020
A Probabilistic Formulation of Unsupervised Text Style Transfer
We present a deep generative model for unsupervised text style transfer ...
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11/22/2019
Optimizing Data Usage via Differentiable Rewards
To acquire a new skill, humans learn better and faster if a tutor, based...
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11/21/2019
Improving Conditioning in Context-Aware Sequence to Sequence Models
Neural sequence to sequence models are well established for applications...
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10/07/2019
Domain Differential Adaptation for Neural Machine Translation
Neural networks are known to be data hungry and domain sensitive, but it...
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05/20/2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
To improve low-resource Neural Machine Translation (NMT) with multilingu...
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03/19/2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
In this paper, we describe compare-mt, a tool for holistic analysis and ...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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02/09/2019
Multilingual Neural Machine Translation With Soft Decoupled Encoding
Multilingual training of neural machine translation (NMT) systems has le...
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08/28/2018
A Tree-based Decoder for Neural Machine Translation
Recent advances in Neural Machine Translation (NMT) show that adding syn...
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08/22/2018